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The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

67 results

Time (local)	Label
1999-09-25 10:18:27	ga_ls7e_ard_3-0-0_101077_1999-09-25_final
2000-03-14 09:59:54	ga_ls7e_ard_3-0-0_098078_2000-03-14_final
2000-03-31 09:05:50	ga_ls7e_ard_3-0-0_089082_2000-03-30_final
2001-07-16 09:48:54	ga_ls7e_ard_3-0-0_097074_2001-07-16_final
2002-01-31 11:36:13	ga_ls7e_ard_3-0-0_114081_2002-01-31_final
2002-07-06 10:20:53	ga_ls7e_ard_3-0-0_102079_2002-07-06_final
2003-08-02 11:09:08	ga_ls7e_ard_3-0-0_110076_2003-08-02_final
2003-09-29 10:10:17	ga_ls7e_ard_3-0-0_100084_2003-09-29_final
2003-11-09 11:39:17	ga_ls7e_ard_3-0-0_115074_2003-11-09_final
2004-01-06 09:05:02	ga_ls7e_ard_3-1-0_089089_2004-01-05_final
2004-03-13 09:35:03	ga_ls7e_ard_3-0-0_094086_2004-03-13_final
2004-10-12 09:52:30	ga_ls7e_ard_3-0-0_097085_2004-10-12_final
2005-07-26 10:42:12	ga_ls7e_ard_3-0-0_106068_2005-07-26_final
2005-08-16 11:05:03	ga_ls7e_ard_3-0-0_109079_2005-08-16_final
2005-12-26 10:37:06	ga_ls7e_ard_3-0-0_105070_2005-12-26_final
2006-07-04 10:50:03	ga_ls7e_ard_3-0-0_107071_2006-07-04_final
2006-09-09 09:47:21	ga_ls7e_ard_3-0-0_096085_2006-09-09_final
2006-10-01 10:43:24	ga_ls7e_ard_3-0-0_106071_2006-10-01_final
2007-04-03 09:55:53	ga_ls7e_ard_3-0-0_098073_2007-04-03_final
2007-05-20 10:50:06	ga_ls7e_ard_3-0-0_107070_2007-05-20_final
2007-10-23 11:15:10	ga_ls7e_ard_3-0-0_111072_2007-10-23_final
2008-02-05 11:12:37	ga_ls7e_ard_3-0-0_110080_2008-02-05_final
2008-05-30 09:59:25	ga_ls7e_ard_3-0-0_099068_2008-05-30_final
2008-08-01 09:22:42	ga_ls7e_ard_3-0-0_092086_2008-07-31_final
2008-09-08 10:17:26	ga_ls7e_ard_3-0-0_102069_2008-09-08_final
2008-11-11 10:22:21	ga_ls7e_ard_3-0-0_102081_2008-11-11_final
2009-08-14 09:59:54	ga_ls7e_ard_3-0-0_098084_2009-08-14_final
2009-11-29 11:16:28	ga_ls7e_ard_3-0-0_111073_2009-11-29_final
2010-04-03 09:09:42	ga_ls7e_ard_3-0-0_090077_2010-04-02_final
2010-05-04 11:43:47	ga_ls7e_ard_3-0-0_115076_2010-05-04_final
2010-05-29 09:59:04	ga_ls7e_ard_3-0-0_098077_2010-05-29_final
2010-05-31 09:49:54	ga_ls7e_ard_3-0-0_096085_2010-05-31_final
2010-06-02 09:35:57	ga_ls7e_ard_3-0-0_094081_2010-06-02_final
2010-08-08 10:05:19	ga_ls7e_ard_3-0-0_099077_2010-08-08_final
2010-09-10 09:09:47	ga_ls7e_ard_3-0-0_090077_2010-09-09_final
2010-11-25 11:12:45	ga_ls7e_ard_3-0-0_110074_2010-11-25_final
2011-01-09 10:42:15	ga_ls7e_ard_3-0-0_105074_2011-01-09_final
2011-07-17 10:14:01	ga_ls7e_ard_3-0-0_100080_2011-07-17_final
2011-07-28 11:35:31	ga_ls7e_ard_3-0-0_113083_2011-07-28_final
2013-03-29 11:21:44	ga_ls7e_ard_3-0-0_111073_2013-03-29_final
2013-04-10 11:48:26	ga_ls7e_ard_3-0-0_115078_2013-04-10_final
2013-11-27 10:15:34	ga_ls7e_ard_3-0-0_100077_2013-11-27_final
2013-12-20 10:21:01	ga_ls7e_ard_3-1-0_101075_2013-12-20_final
2014-01-07 10:07:10	ga_ls7e_ard_3-0-0_099071_2014-01-07_final
2014-01-20 09:42:05	ga_ls7e_ard_3-0-0_094085_2014-01-20_final
2014-03-29 10:50:09	ga_ls7e_ard_3-0-0_106069_2014-03-29_final
2014-11-07 10:12:33	ga_ls7e_ard_3-0-0_099080_2014-11-07_final
2015-08-06 10:15:19	ga_ls7e_ard_3-0-0_099083_2015-08-06_final
2015-08-16 09:15:57	ga_ls7e_ard_3-0-0_089089_2015-08-15_final
2016-08-13 10:35:05	ga_ls7e_ard_3-0-0_102079_2016-08-13_final
2016-11-17 10:35:47	ga_ls7e_ard_3-0-0_102081_2016-11-17_final
2017-01-20 10:30:33	ga_ls7e_ard_3-0-0_102069_2017-01-20_final
2017-06-08 10:16:06	ga_ls7e_ard_3-0-0_099078_2017-06-08_final
2017-06-19 10:00:48	ga_ls7e_ard_3-1-0_096086_2017-06-19_final
2017-10-23 10:07:11	ga_ls7e_ard_3-0-0_098071_2017-10-23_final
2018-02-05 10:02:23	ga_ls7e_ard_3-0-0_097077_2018-02-05_final
2018-02-15 10:37:22	ga_ls7e_ard_3-0-0_103072_2018-02-15_final
2018-03-04 11:18:27	ga_ls7e_ard_3-0-0_110067_2018-03-04_final
2018-05-26 10:15:58	ga_ls7e_ard_3-0-0_099084_2018-05-26_final
2018-06-04 10:03:15	ga_ls7e_ard_3-0-0_098068_2018-06-04_final
2018-11-02 10:06:44	ga_ls7e_ard_3-0-0_099069_2018-11-02_final
2019-05-21 09:18:11	ga_ls7e_ard_3-0-0_091087_2019-05-20_final
2020-03-24 10:10:49	ga_ls7e_ard_3-1-0_103068_2020-03-24_final
2020-07-24 09:08:58	ga_ls7e_ard_3-1-0_093086_2020-07-23_final
2020-09-10 10:38:47	ga_ls7e_ard_3-1-0_109071_2020-09-10_final
2020-11-15 10:21:40	ga_ls7e_ard_3-1-0_107070_2020-11-15_final
2021-10-01 10:01:00	ga_ls7e_ard_3-2-0_107083_2021-10-01_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years